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ICASSP
2009
IEEE
14 years 3 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...
SOCO
2008
Springer
13 years 8 months ago
Component-Based Access Control: Secure Software Composition through Static Analysis
Abstract. Extensible Component Platforms support the discovery, installation, starting, uninstallation of components at runtime. Since they are often targeted at mobile resource-co...
Pierre Parrend, Stéphane Frénot
BMCBI
2010
146views more  BMCBI 2010»
13 years 9 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
IDA
2009
Springer
14 years 3 months ago
Estimating Squared-Loss Mutual Information for Independent Component Analysis
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Taiji Suzuki, Masashi Sugiyama
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 8 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja